Senior Consultant/Manager, Data, Analytics and Automation

Posted Yesterday

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Job Details

Full Time

Location

Montreal, QC

Job Description

Overview
KPMG's Management Consulting practice helps organizations leverage change. The business intelligence and engineering team helps organizations to utilize data by supporting data-informed decision-making with the development and implementation of advanced technological solutions that fully use structured and unstructured data, even in a big data environment.

What you will do
The successful candidate will take part in various business intelligence and data engineering mandates, which could involve assessing current practices, as well as developing a business intelligence and data engineering strategy, roadmaps, dashboards and performance indicators, devising and validating data models, and analyzing data to support timely decision-making, etc.

The successful candidate will have a range of responsibilities, including:

Taking part in client meetings and supporting the team in developing presentation materials in relation to project kick-off meetings, needs gathering and analysis, project management, presentation of results, etc.
Developing and implementing dimensional and tabular data models aligned with clients' business intelligence needs.
Advising on the implementation of indicators aligned with organizational or sectoral objectives to support performance management and decision-making.
Playing a role in developing and implementing roadmaps, dashboards, performance indicators, data modelling, business intelligence and data engineering systems architectures, data analyses supporting decision-making, etc.
Assisting and supporting clients in implementing recommendations and managing projects in accordance with deadlines, budgets and client expectations.
Working on multiple client engagements of varying scope and complexity at the same time.
Delivering high-quality work on time that meets the Firm's quality standards and client expectations.
Working with cross-functional teams with people of diverse backgrounds and skill sets.

What you bring to the role

University degree in computer science, business intelligence, information architecture, information science, business administration or another related field.
1-4 years of relevant business intelligence experience.
Professional experience in the financial or insurance industry, considered an asset.
Experience in developing and using relational and dimensional models.
Good knowledge of SQL (window functions, subqueries, conditional tables, etc.)
Experience developing dashboards and performance indicators using PowerBI, Tableau, Looker, etc.
Strong ability to convey complex information to different organizational levels and stakeholders with different levels of business intelligence maturity.
Knowledge of data pipeline development tools (e.g., Apache Airflow, Luigi, dbt, stitch, etc.) considered an asset.
Knowledge of programming languages in a data pipeline development context (e.g., Java, C#, Python) considered an asset.
Familiarity with certain cloud computing suites (AWS, Azure, GCP) considered an asset.

Providing you with the support you need to be at your best
Our Values, The KPMG Way
Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process
At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have the opportunity to request an adjustment or accommodation at any point throughout the recruitment process. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling 1-888-466-4778.

About KPMG

KPMG LLP is the Canadian member firm of KPMG International. We provide Audit, Tax, and Advisory services to many of the public and private business, not-for profit, and public sector organizations in Canada. Nationally, there are 40 offices and over 700 partners and 7,000 employees working together to help Canadian businesses achieve their goals. Leveraging the skills, knowledge and passion of our firm and our people allows us to serve our clients with uncompromising professionalism, cutting through complexity to provide valuable insight—in Canada and around the world. KPMG s.r.l./S.E.N.C.R.L. est le cabinet canadien membre de KPMG International Cooperative (« KPMG International »). Nous offrons des services professionnels en audit et en fiscalité ainsi que des services-conseils à une vaste clientèle composée notamment de sociétés ouvertes et fermées, d’organismes sans but lucratif et d’organisations du secteur public au Canada. KPMG compte 40 bureaux à l’échelle nationale, au sein desquels collaborent plus de 700 associés et 7 000 employés pour aider les sociétés canadiennes à atteindre leurs objectifs. Nous misons sur les compétences et le savoir-faire de notre équipe pour servir nos clients − au Canada et ailleurs dans le monde − avec rigueur et professionnalisme. Notre mission première : simplifier la complexité en proposant des perspectives éclairantes.